Passive Microwave Remote Sensing of Soil Moisture: A Step-By-Step Detailed Methodology using AMSR-E Data over Indian Sub-Continent
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Passive Microwave Remote Sensing of Soil Moisture: A Step-By-Step Detailed Methodology using AMSR-E Data over Indian Sub-Continent |
| 2. | Creator | Author's name, affiliation, country | Gagandeep Singh; Department of Civil Engineering, National Institute of Technology (NIT), Warangal, Telangana, India |
| 2. | Creator | Author's name, affiliation, country | Hari Shanker Srivastava; Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO), Dehradun, Uttarakhand, India |
| 2. | Creator | Author's name, affiliation, country | Shashi Mesapam; Department of Civil Engineering, National Institute of Technology (NIT), Warangal, Telangana, India |
| 2. | Creator | Author's name, affiliation, country | Parul Patel; Space Application Centre (SAC), Indian Space Research Organization (ISRO), Ahmedabad, Gujarat, India |
| 3. | Subject | Discipline(s) | Remote Sensing |
| 3. | Subject | Keyword(s) | AMSR-E; Passive Microwave Remote Sensing; Soil Moisture; Rainfall; Temporal Variations of Soil Moisture |
| 3. | Subject | Subject classification | Passive Microwave Remote Sensing |
| 4. | Description | Abstract |
This paper presents a detailed methodology to process AMSR-E soil moisture data to generate average soil moisture maps of desired durations be it weekly, monthly or yearly over a large geographical area like a continent or a sub-continent. The paper also explores utility of AMSR-E soil moisture product (AE_Land 3 product) to understand the soil moisture variations over Indian subcontinent by analysing daily soil moisture data for entire calendar year of 2009. In order to demonstrate the developed methodology the year 2009 was selected wherein a total of 730 AMSR-E daily scenes (365 each for ascending as well as descending passes) were processed and analysed. Although the absolute values of soil moisture derived from AMSR-E are not showing good agreement with soil moisture status on ground which is due to large variability in soil moisture within the coarse-resolution cell offered by passive sensors [1] but in general AMSR-E derived soil moisture values are well explained on the basis of rainfall data and agricultural practices adopted in different states of Indian sub-continent. The soundness of the detailed methodology proposed in this paper has been well supported by studying the variations in AMSR-E derived soil moisture with seasonal variations and rainfall data. It has been observed that the soil moisture variations are in line with the seasonal changes as well as the rainfall variations. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2015-06-03 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | Soil Moisture variations |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-408 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 4 (Year 2015) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | India |
| 15. | Rights | Copyright and permissions |
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